About Impact Analytics

Impact Analytics is an agentic-first AI software company transforming retail merchandising through cutting-edge AI, LLMs, and Generative AI technologies. As a fast-growing Series D company with deployments across five continents, it is building both industry-leading merchandising solutions and foundational AI agents that are redefining how retail decisions are made. What makes Impact Analytics unique is its combination of deep retail domain expertise, strong innovation culture, and global presence. It is one of the few India-born AI companies recognized globally by organizations like Fortune, Gartner, and the Inc. 5000.For candidates looking to work on next-generation AI products with global scale and real-world impact, Impact Analytics is an exciting place to build your career. Here's a link to our website: www.impactanalytics.co.

The impact that you will be making

Write advanced SQL and PL/SQL — complex queries, stored procedures, and transformation logic —to extract, transform, and validate planning data across ERP, data-warehouse, and platform environments.
Develop predictive analytics and machine learning algorithms for business applications, ensuring the seamless integration of analytics with business objectives
Build, schedule, and maintain production data pipelines in Apache Airflow, authoring DAGs, handling dependencies and backfills, and configuring monitoring and alerting for demand, inventory, and fulfilment datasets.
Develop Python (Pandas, NumPy) for data wrangling, and automation of recurring data tasks.
Run root-cause analysis on data-quality issues (missing master data, outliers, erroneous transactions) and build automated validation and reconciliation checks that hold from development through UAT and go-live.
Optimise query performance and batch processes for high-volume enterprise data environments.
Diagnose order-fulfilment bottlenecks across inventory positioning and replenishment cycles, applying inventory policies such as safety stock, reorder points, and service levels.
Support scenario and what-if analysis for supply disruptions, demand volatility, and new-product introductions.
Build KPI dashboards (Tableau / Power BI / Excel) that give planning teams real-time visibility into demand-to-fulfillment performance.
Translate business requirements into platform data-model specifications and interface mapping documents.
Support solution architects in configuring demand and fulfilment modules on the IA platform.
Execute SIT and UAT — authoring test cases, running validation cycles, logging defects, and verifying resolution.
Serve as the analytical point of contact for client data and planning teams during implementation and post-go-live support.
Maintain project documentation — data dictionaries, process flows, configuration logs, and lessons learned.
Manage and mentor a team of at least 2-3 members, providing technical guidance and demonstrating strong organizational and leadership skills.

What Lands You In This Role

5–8 years of overall experience, acting as a Lead AI Analyst, within a consulting, SaaS, or retail/CPG environment.
6+ years of experience in Data Analytics, Model development, and deployment.
Experience managing teams of at least 2-3 members, paired with strong organizational and leadership skills.
Strong forecasting experience with mandatory exposure to developing predictive analytics and machine learning algorithms for business applications.
Hands-on experience working across SQL, R, Python, and Hadoop.
Advanced SQL & PL/SQL — demonstrable, hands-on proficiency writing complex queries, stored procedures, and transformation logic against large-scale datasets.
Python — strong working proficiency for data manipulation, automation, and analysis (Pandas, NumPy, scikit-learn a plus).
Apache Airflow — hands-on experience building and operating production pipelines/DAGs, not just running pre-built ones.
Demand Planning / Supply Chain experience — practical knowledge of statistical forecasting, forecast accuracy measurement (WMAPE/Bias/FVA), replenishment, and inventory policies (safety stock, reorder points, service levels), ideally within S&OP / S&OE cycles.
Good knowledge of data management and visualization techniques.
Understanding and exposure to business applications and the integration of analytics with businesses.
Hands-on experience with demand or fulfillment planning platforms such as Blue Yonder, o9 Solutions, SAP IBP, or Kinaxis.
Experience with enterprise data environments, ERP systems such as SAP, Oracle.
Strong analytical and problem-solving skills, with the ability to translate data findings into business recommendations, and clear communication with both business and IT stakeholders.
Working Experience in Cloud data platforms such as Snowflake, Google BigQuery, Azure Synapse, or AWS Redshift.
Exposure to ML-based demand sensing or autonomous replenishment tooling.
Familiarity with Git and Agile delivery tools (Jira, Confluence).
APICS (CPIM) certification or an equivalent supply-chain qualification.
Prior experience in retail, FMCG or CPG industries.
B Tech/BE degree in Computer Science, Data Science, Mathematics, or a similar field.

What We Offer

An opportunity to be part of some of the best enterprise SaaS products to be built out of India.
Opportunities to quench your thirst for problem-solving, experimenting, learning, and implementing innovative solutions.
A flat, collegial work environment, with a work hard, play hard attitude.
A platform for rapid growth if you are willing to try new things without fear of failure.
Remuneration with best-in-class industry standards with generous health insurance cover

Our Accolades Include

Ranked #72 in America's Most innovative Companies list in 2023 alongside companies like Microsoft, Tesla, Apple, IBM, etc.
Ranked as one of America s fastest growing companies by Financial Times for four consecutive years: 2020-2023.
Ranked as one of America s fastest-growing private companies by Inc 5000 for Six consecutive years: 2018-2023.
Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortment, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.
Featured as one of top 25 ML startups to watch by Forbes in 2019.
Ranked as one of North Americas fastest-growing technology companies by Deloitte for two consecutive years 2019 & 2020

Lead AI Analyst - Product Delivery